{"doc_desc":{"idno":"DDI_SSD_2019_IBES_v01_M_WB","producers":[{"name":"Development Economics Data Group","abbreviation":"DECDG","affiliation":"The World Bank","role":"Documentation of the DDI"}],"prod_date":"2020-12-11","version_statement":{"version":"Version 01 (December 2020)"}},"study_desc":{"title_statement":{"idno":"SSD_2019_IBES_v01_M","title":"Integrated Business Establishments Survey 2019","alt_title":"IBES 2019"},"authoring_entity":[{"name":"National Bureau of Statistics","affiliation":"Republic of South Sudan"}],"production_statement":{"producers":[{"name":"National Bureau of Statistics","affiliation":"Republic of South Sudan","role":""}],"funding_agencies":[{"name":"World Bank - IDA Statistical Capacity Building Project","abbreviation":"WBG-IDA","role":""}]},"distribution_statement":{"contact":[{"name":"Arden Finn","affiliation":"The World Bank","email":"afinn1@worldbank.org","uri":""}]},"series_statement":{"series_name":"Enterprise Survey [en\/oth]","series_info":"The Integrated Business Establishments Survey 2019 (IBES 2019), is a second-of-its kind following the baseline IBES 2010 that took place in 10 State Capitals of the Republic of South Sudan. IBES 2019 collected invaluable information about the state of business in the country, the number and nature of establishments, where they are located, and employment status. The survey has also collected information on business income and expenditure that are required for national accounting purposes. This information will be useful for the private and public sectors and the development community alike."},"version_statement":{"version":"Version 1","version_date":"2021-03-02"},"study_info":{"abstract":"The main objective of undertaking this survey of 2019 is to generate data that are statistically representative for urban businesses operating in the country with a fixed location; with the aim of bridging the information or data gaps those were created by the conflict on businesses in the country.\n\nThe specific objectives will be to:\n\n- Obtain the spread of businesses by economic activity\n- Determine the employment in businesses by sex\n- Determine the ownership status of businesses\n- Determine the location of businesses in the country\n- Determine the age of businesses and status of computer use and ownership.\n- Determine the cost and profit structure of businesses as well as the inventory\n- Determine the perception of regulations and doing business\n- Determine the impact of the conflict on businesses","time_periods":[{"start":"August 2019","end":"October 2019","cycle":""}],"coll_dates":[{"start":"2019-08","end":"2019-10","cycle":""}],"nation":[{"name":"South Sudan","abbreviation":"SSD"}],"geog_coverage":"Coverage of business establishments in the 12 most populated urban areas of South Sudan in 2019. Towns included are Aweil, Bor, Juba, Kuajok, Maridi, Nimule, Renk, Rumbek, Tonj, Torit, Wau and Yambio.","analysis_unit":"Businesses","data_kind":"Sample survey data [ssd]","notes":"The topics covered in the Integrated Business Establishments Survey (IBES) 2019 include: \n\n- Economic activity\n- Ownership and employment\n- Business environment\n- Shocks\n- Access to financial services\n- Expenditure and assets\n- Investment and stocks\n- Non-financial institutions \n- Financial institutions\n- Education institutions\n- Health institutions \n- Non-governmental organizations\n- Paying tax"},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbreviation":"NBS","affiliation":"Republic of South Sudan"}],"collector_training":{"type":"A team of 145 enumerators of which 28 enumerators were reserves, 117 enumerators were the primary fieldworkers, 32 supervisors, 8 team leaders and 32 field guards did the fieldwork. Before the commencement of fieldwork, a two-tier training program was conducted, that is, the training of master trainers \/ supervisors and a training of the primary fieldworkers. The training of trainers took 5 days while the training of fieldworkers took 7 days. Data collectors have been trained on concepts and definitions involved in filling up the questionnaire during data collection. Practical sessions have been organized in which fieldworkers exercised on how to fill in the questionnaire modules and solve problems encountered therein. The data collections took 12 days in all the towns except for Juba, which took 18 days.   In addition, at the preliminary stage of the fieldwork, field visits were conducted at selected samples to assess whether the guidelines of data collection were being properly followed in canvassing the schedules of enquiry and to suggest remedial measures. NBS monitored the progress of data collection during the survey period and provided necessary clarifications on technical survey matters. A technical team comprising of NBS staff reviewed and commented on the new fieldwork revelations and discussed them to come up with practical solutions that were later shared to all IBES staff."},"sampling_procedure":"The IBES 2019 generated the required Business Register for business establishments in South Sudan, which can be used for any business establishment survey. For enterprise surveys, an Establishment Censuses (EC) or business registries undertaken by a country at regular intervals generally provide the sampling frame, giving a count of enterprises and workers by broad industry group at the primary level of geographical units. In South Sudan there is no establishment census or useable business registry that has ever been undertaken, and in such circumstances, the listing of businesses\/enterprises and workers by broad industry group in the concerned geographic areas was used as the only option. As it was done for the IBES 2010, the listing of all enterprises and workers (in formal and informal sectors) by broad industry group for the selected 12 major towns\/cities that took place in June-July 2018 listed 13, 348 businesses that served as the sampling frame for the IBES 2019. This listing process collected minimum required information for sampling frame purposes, such as name and location of each business  establishments, the main economic activity of the business in ISIC format, number of workers\/employees, registration status, maintaining regular accounts or not and the year of establishment, among others.\n\nFormal and Informal Sectors:\nThe existing definition of formal business used in IBES 2010 as described above had limitations due to the fact that it did not consider the registration status with tax government agency (i.e. value added tax and\/or income tax), and the status of keeping accounts, which was recommended and implemented in IBES 2019. The required information for the new definition of \u201cformal sector\u201d was also collected during the listing operation.\n\nUsing the information collected from the listing operation, about 55 percent of listed business establishments were formal irrespective of the employment size. However, when the employment size factor was considered, i.e. adding a third condition of having 6 or more employees (Medium and Large business establishments), only about 10.7 percent of business establishments were classified as \u201cformal sector\u201d. Given also the fact that the average number of employees per surveyed enterprises in 2010 was 2.7, and that about 58.7 percent of listed business establishments had 0-2 employees, it was highly important to have proper definition of Micro, Small, Medium and Large enterprises in terms of number of employees for sampling purposes. Based on the information of the IBES 2019 listing operation, table 3 describes the distribution of listed business establishments by different size of employment. It is observed that 13.8 percent of listed business establishments are classified as medium and large.\n\nSampling and stratification:\nThe IBES 2019 sampling frame includes 13,348 business establishments from both formal and informal sectors based on the new definition. In order to improve the sampling efficiency for business surveys, it was important to stratify the business enterprises in the frame by size of employment, generally defined in terms of the total number of employees.  Therefore, the frame was stratified by the following categories of employment size:\n\n- 0-2 employees\n- 3-5 employees\n- 6-9 employees\n- 10+ employees\n\nThe reasons of proposing these categories of employment size for stratification are that in developing countries, business environment is largely composed of informal sector where the majority of business establishments are micro and small in nature. For example, many business establishments are small shops in the neighborhood, and often owned by households, and most of the time, the family will employee 1 or 2 people to work in such shops. For business surveys, it is very important to stratify them under such small employment size to capture the reality on the ground. The same employment size category is also used to allow comparability with IBES 2010 survey. Given the important contribution of the medium and larger business enterprises to the value of production, capital investment, value added and other measures of the economy, and comparability with IBES 2010, it was important to include all the business establishments with 6 or more employees in the IBES 2019 sample with certainty (that is, with a probability of selection equal to 1). Therefore, there were 1,838 business establishments with 6 or more employees for all economic sectors in the sampling frame.","coll_mode":"Computer Assisted Personal Interview [capi]","research_instrument":"The questionnaire is structured.","weight":"The basic weights for the sample business establishments selected for IBES 2019 was calculated as the inverse of the probability of selection (sampling rate) for the corresponding stratum."},"analysis_info":{"response_rate":"The response rate for the IBES 2019 was 87 percent."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"","required":"Yes","form_no":"","uri":""}],"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download\n\nExample:\n\nNational Bureau of Statistics. Integrated Business Establishments Survey 2019. Ref. SSD_2019_IBES_v01_M. Dataset downloaded from [source] on [date]."}}},"schematype":"survey","tags":[{"tag":"DOI"}]}